Category: Analytics

Deloitte’s Gary Arora, an APN Ambassador, will show you how to integrate an application with Amazon Athena to execute SQL queries with ‘athena-express.’ This is a wrapper around the AWS SDK that can simplify executing SQL queries in Amazon Athena and fetch the JSON results in the same synchronous call—a capability well suited for many web applications. Developers can use ‘athena-express’ to help save time and effort in setting up the integration and focus on core application development.

Today’s businesses deal with many different varieties of data, including structured datasets stored in various repositories like a relational databse management system (RDBMS) or enterprise resource planning (ERP); semi-structured datasets like web logs and click-stream datasets; and unstructured datasets like images and videos. AWS provides a secure, scalable, comprehensive, and cost-effective portfolio of services that enable customers to build their data lake in the cloud.

AWS provides a broad set of managed services for data analytics that, along with a strong APN Partner community, can help you build a scalable, secure, and cost-effective data lake. Customers and APN Partners want to know how to put all these pieces so we created a new poster and video explaining the overall flow of data—from data collection, storage, and processing all the way to analytics and machine learning.

Despite advances in music-sharing technology, touring and live shows remain staples for emerging artists. How do artists and promoters align the reach of streaming services with fans’ physical locations to better plan, promote, and manage live shows? To answer this question, Vertical Trail partnered with Gigable to create a music platform and app that uses curated playlists, geo-based concert discovery, and online ticketing to close the gap between artists and their fans—all while building a formidable big data asset.

While modernizing customer mainframes, the team at AWS Blu Age discovered that Batch can be a complex aspect of a mainframe migration to AWS. It’s critical to design your AWS architecture to account for the key Batch stringent performance requirements such as intensive I/Os, large datasets, and short durations. Let’s explore how to migrate mainframe Batch to AWS microservices using AWS Blu Age automated transformation technology.

Amazon Athena is a Presto-distributed SQL engine used to query unstructured data using standard SQL, where you pay only for the amount of data you query. Chartio, an AWS Competency Partner, recently announced support for Athena. Their solution allows you to query and visualize data stored in an Amazon S3 data lake using standard SQL. You can also use their visual drag-and-drop SQL layer, which generates native SQL queries for you.

To gain the insights needed to fuel business growth, organizations need to collect more data and do more with it. That’s where a data lake can help—it’s a repository that holds a large amount of raw data in its native (structured or unstructured) format until that data is needed, enabling you to accommodate virtually any use case. Check out Cloudwick’s Data Lake Foundation on AWS Quick Start, and then drill down a bit deeper into the workings and value of the data catalog.

AWS Solution Space allows AWS Competency Partners to showcase customer-ready solutions based on architectures validated by AWS. These are quick, cost effective, repeatable solutions meant to create new business leading to production workloads. Customers can also request AWS support for launching each solution. At launch, we are featuring 10 customer-ready solutions: 5 for Big Data, 3 for Machine Learning, one for Security, and one for End User Computing.

As a leader in enterprise cloud data management, Informatica accelerates AWS data management for data warehouse modernization, data lakes, data migration, and data cataloging. Informatica is an AWS Advanced Technology Partner and holds the AWS Big Data Competency. Informatica’s Enterprise Data Catalog (EDC) Quick Start deploys the artificial intelligence-powered data catalog on the AWS Cloud and enables organizations to discover and catalog assets from data sources across the enterprise.

The Center for Advanced Defense Studies (C4ADS) is a nonprofit organization based in Washington D.C. that provides data-driven analysis and evidence-based reporting on global conflict and transnational security issues. Because their analysts must comb through extensive records from different sources, it became increasingly difficult to make use of all the data. ClearScale, an AWS Premier Consulting Partner, implemented a large data lake on AWS to make the data more user-friendly for C4ADS analysts.